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Fundamentals of pattern recognition and machine learning / Ulisses de Mendonça Braga-Neto
Switzerland : Springer, 2020
xviii, 357 pages : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 006.4
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. The book is intended to be concise but thorough.
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Handbook of pattern recognition & computer vision / C. H. Chen, L.-F. Pau, Patrick S-P. Wang
Singapore : World Scientific, 1993.
xi, 984 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 006.4
Pattern recognition and computer vision and their applications have made tremendous progress in research and development over the past two decades. This comprehensive book captures both the basics as well as new and advanced results in the field.
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Introduction to pattern recognition and machine learning / M. Narasimha Murty, V. Susheela Devi
New Jersey : World Scientific, 2015
383 pages. ; 23 cm.
Ký hiệu phân loại (DDC): 003.5
This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition; while the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics -- neural networks, support vector machines and decision trees -- attributed to the recent vast progress in this field are also dealt with; introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.
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Pattern recognition : An algorithmic approach / M Narasimha Murty; V Susheela Devi
London , New York : Springer, 2011
x, 263 pages : illustrations
Ký hiệu phân loại (DDC): 006.4
Observing the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world. This must-read textbook provides an exposition of principal topics in PR using an algorithmic approach. Presenting a thorough introduction to the concepts of PR and a systematic account of the major topics, the text also reviews the vast progress made in the field in recent years. The algorithmic approach makes the material more accessible to computer science and engineering students.
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